
where the messages \(\mathbf {m}_{st}\)  and \(\mathbf {m}_t\)  are summed and passed through the function \(\mathbf {F}_n: \mathbb {R}^D \rightarrow \mathbb {R}^D\)  that is a 1-hidden-layer MLP with batch normalization [1]}. The dimensionality of the node and hidden layer features is \(D\) . Equation (REF ) follows standard GNN embedding update formulations [2]} with the addition of a residual connection, \(\mathbf {h}_t^{(k)}\)   [3]}. We define the pairwise messages \(\mathbf {m}_{st}\)  and self message \(\mathbf {m}_t\)  in Section REF .
